PlanMate
AI travel planner for walkable local experiences in the city
What it does
Most travel apps scatter recommendations across a city. PlanMate clusters them geographically - walkable routes through neighborhoods, not scattered pins. Perfect For: Food tours, bar crawls, date nights, tourist days, local exploration Features: Smart Clustering — Tight walking routes (400m) or city-wide coverage Venue Intelligence — Ask questions, watch Instagram Reels for real POV Share Itineraries — Send plans to friends Status: Beta Stop zigzagging. Start walking.
Does the same job
all alternatives →
tripplore: intelligent travel planningFeb 2026 · ▲3Plan your trips and travels more easily with AI itineraries.
- TATripnotes.ai: Intelligent Travel Planner2023 · tripnotes.ai · ▲9
Hey HN, We're excited to announce the public beta preview of Tripnotes, an intelligent travel planner that mixes a custom recommendation engine, our own data, and a bit of GPT to help you find the right places to go while traveling. Our team has been working hard on this project for 6 months, and we're excited to finally share it with the HN community. With Tripnotes, you can keep track of all your notes about travel when planning to visit a city. Paste in article URLs, videos, emails, text messages, any other text, and if you need some help with research, ask our Concierge which will…
Wanderlust — AI Trip Planner27d ago · wanderlustapp.io · ▲3AI trip planner with day-by-day itineraries & offline mode
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
